Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
MG
Mar 31, 2020
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
YP
Jul 26, 2018
Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN鞚 鞁れ牅 鞝侅毄頃犽晫 氚橂摐鞁 鞚错暣頃橁碃 鞝侅毄頃挫暭 頃 鞁れ鞝 雮挫毄霌る 甑劚霅 氅嬱 旖旍姢 鞛呺媹雼!
4951 - 4975 of 5,745 Reviews for Structuring Machine Learning Projects
By Aziz B
鈥Mar 26, 2020
perhaps adding code on how to synthesize images and code examples on dealing with avoidable bias and variance
By Jason D
鈥Dec 15, 2018
5 start learning with 1 start video editing. An intern and Adobe Premiere with less than a week would fix it!
By Renato R S
鈥Nov 22, 2017
Very Good, with insights not seem anywhere, but lacking exercises as the others in the specialization track.
By Swann C
鈥Oct 6, 2017
Very interesting topics so you can move onto managing Deep Learning Project more efficiently, saving time and
By Ahmed D
鈥Mar 2, 2019
I liked this course less than the others since I found very theoretical and that made me get bored sometimes
By S K R
鈥Jan 23, 2021
The over all course is good. But you should add some more challenges. Maybe another case study in each week
By Hernan g
鈥Nov 13, 2020
i would like to have a little more programming assignaments, but the course is so good and really helpfull.
By Lior R
鈥Feb 8, 2020
very helpfull for projects building and the simple explanations helped me undersatnd the material very well
By akyang
鈥Aug 8, 2019
Actually, from this course, I learned how to start a machine learning project. I think I need some reviews.
By vishwanathan r
鈥Nov 2, 2017
There are some errors in some of the videos, either in terms of repeating content or not being able to play
By Sudikshan R
鈥Sep 11, 2020
It was super interseting and it was fascinating to see how companies approarch error reduction management!
By Hasti K
鈥Oct 3, 2019
It is a very useful course but I preferred to have a programming assignment as well to try what I learned.
By clayton m
鈥Sep 15, 2019
Great course to help a practitioner start to develop a core framework for leading a deep learning project.
By Gregg H
鈥Nov 12, 2017
Shared many themes/slides with the Basic Machine Learning Course by Andrew; Nonetheless, a lot learned :)
By JOSE D J N R
鈥May 31, 2020
Sometimes interesting, but I would have expected to get more intuition on TensorFlow before this course.
By Michael Z S
鈥Apr 5, 2020
The study case approach is great.
I recommend doing this course as last of the 5 courses, as a "wrap-up".
By Siddhant R
鈥Jan 23, 2019
the quiz answers need to be rectified or the mentors have to explain why the correct answers are correct
By Brandon K
鈥Nov 17, 2017
This course delivered some good information, but it was short and didn't have any programming exercises.
By Jaydeep R
鈥Jul 14, 2020
No coding in this course. The simulator exercises can be tricky. Nevertheless, a very important course.
By An X
鈥Sep 6, 2019
lots useful industrial level skills, however there are too much repeated content in the course i feels
By Kayvon P
鈥Dec 16, 2023
great teaching quality from Andrew as always although I found some of the content a little repetitive
By Viraat C
鈥May 31, 2020
not as informative as the previous two courses in the specialization, could be integrated into others
By Francesco N
鈥Jan 28, 2018
A little bit annoying. However, it is very useful for learning how to approach to real-world problems
By Xingyu Y
鈥Aug 28, 2017
This part is very conceptual and I can't tell if they are helpful or not without actually using them.
By Lucas G
鈥Aug 23, 2017
Great course! Would have loved some programming assignments, but the flight simulator was useful too.